Triple

T1175565
Position Surface form Disambiguated ID Type / Status
Subject Derbent E25016 entity
Predicate languageUsed P238 FINISHED
Object Lezgian E112561 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lezgian | Statement: [Derbent, languageUsed, Lezgian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lezgian
Context triple: [Derbent, languageUsed, Lezgian]
  • A. Lezgian chosen
    Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
  • B. Abkhaz–Abaza
    Abkhaz–Abaza is a small Northwest Caucasian language subgroup comprising closely related languages spoken primarily in Abkhazia and parts of the North Caucasus.
  • C. Ossetian language
    The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
  • D. Dargin
    Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
  • E. Lezgins
    Lezgins are a Northeast Caucasian ethnic group native primarily to southern Dagestan in Russia and northern Azerbaijan, known for their distinct Lezgian language and rich traditional culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0d5c288190b597dae0fbe3b43b completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f1a13bc81909da2cfdbad397861 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:45 p.m.